M

MCP DOC Server OpenRouter

A multi - functional document processing MCP server that supports scraping, processing, and intelligently retrieving third - party software package documentation from multiple sources, integrates the OpenRouter multi - model API, and provides hybrid search capabilities.
2.5 points
18

What is the MCP Documentation Server?

The MCP Documentation Server is an intelligent document management system that can automatically scrape content from various technical document sources (such as official websites, GitHub, npm, etc.) and build a searchable index after processing. It combines semantic understanding and full-text retrieval technologies to help developers quickly find the required technical document content.

How to use the MCP Documentation Server?

It's very simple to use: 1) Start the server via Docker or npx. 2) Configure the API key. 3) Submit document scraping tasks via the command line or API. 4) Use the search function to query document content.

Use Cases

It is very suitable for scenarios where development teams need to quickly find various technical documents, especially when they need to query documents from multiple different technology stacks simultaneously. It is also suitable for building the technical support function of intelligent assistants.

Main Features

Intelligent Document ScrapingSupports automatically scraping document content from multiple sources such as websites, GitHub, and npm
OpenRouter Multi-Model SupportIntegrates the OpenRouter API and supports multiple large language models such as GPT - 4, Claude, and Gemini
Hybrid SearchCombines semantic vector search and full - text retrieval to provide more accurate search results
Version ManagementSupports document version control and allows querying the content of specific document versions

Advantages and Limitations

Advantages
Get multiple technical documents in one stop without switching between different websites
Intelligent search understands query intentions, not just keyword matching
Supports multiple large language models and can be selected according to needs
Easy to deploy and supports fast startup via Docker
Limitations
An API key needs to be configured to use all functions
Additional configuration may be required to scrape the content of some dynamically loaded documents
It takes some time to scrape a large number of documents for the first time

How to Use

Installation and Startup
Install and start the server via Docker or npx
Configure API Key
Configure the API key of OpenAI or OpenRouter in the.env file
Scrape Documents
Use the CLI command to scrape specified documents
Search Documents
Use the search function to query document content

Usage Examples

Find React Hooks DocumentationNeed to quickly find the relevant usage of React Hooks during development
Compare API Differences between Different VersionsNeed to understand the API changes between different versions of a library

Frequently Asked Questions

How to get an OpenRouter API key?
Where are the scraped documents stored?
Which document sources are supported?

Related Resources

OpenRouter Official Website
OpenRouter multi - model API service platform
GitHub Repository
Project source code and latest updates
Docker Usage Guide
Docker official documentation
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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